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Conference and Workshop Papers
- 2023
[c4]Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh:
Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization. NeurIPS 2023- 2022
- [c3]Jui-Nan Yen, Yao-Ching Hsieh, Cheng-Yu Chen
, Tseng-Yi Chen, Chia-Lin Yang, Hsiang-Yun Cheng, Yixin Luo:
Efficient Bad Block Management with Cluster Similarity. HPCA 2022: 503-513 - [c2]Yaxu Liu, Jui-Nan Yen, Bo-Wen Yuan, Rundong Shi, Peng Yan, Chih-Jen Lin:
Practical Counterfactual Policy Learning for Top-K Recommendations. KDD 2022: 1141-1151 - 2021
- [c1]Jui-Nan Yen, Chih-Jen Lin:
Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification. ICDM 2021: 1457-1462
Informal and Other Publications
- 2024
- [i2]Neha Prakriya, Jui-Nan Yen, Cho-Jui Hsieh, Jason Cong:
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review. CoRR abs/2409.06131 (2024) - [i1]Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar:
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization. CoRR abs/2410.20625 (2024)
Coauthor Index
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